Three important factors, namely health, education, and poverty, influenced economic growth. To create a healthy and educated population, the government must be able to provide access to health services to the community in proportion to the population and learning opportunities. A healthy and educated population will be more productive so that they are free from poverty and the life expectancy index will improve. The goal of this research was to look into the impact of health-care access, health-care financing, educational attainment, and social standing on life expectancy. The research method used is quantitative research with a longitudinal study design. We got the research data from the report of the National Central Statistics Agency (NCSA) and the Ministry of National Health. We conducted the study in 34 provinces in Indonesia from 2015 to 2019Panel data regression analysis was employed in the data analysis. The study's findings revealed that health services, including the ratio of hospital beds and the ratio of doctors, influenced life expectancy. Education also shows that the average length of schooling and literacy influence life expectancy and social factors, including the Gini ratio index and the poverty depth index, have a significant effect on life expectancy. Simultaneously, access to health services, educational status, and social status affect life expectancy. The provincial government should increase the rate of public health and education and decrease the poverty rate at the same time.

The goal of this research is to look at the impact of health-care access, health financing, educational status and social status on life expectancy and their impact on economic growth. This research was conducted in the territory of the Unitary State of the Republic of Indonesia. Secondary sources from the APBN and BPS reports is used in this research and the BPS Health Report of the Republic of Indonesia, including obtaining data from access to the National BPS website. besides that, it also accesses regional economic studies from Bank Indonesia (BI). The time of the research is related to these data for the last 5 years starting from 2015 to 2019. The population in this study was 34 provinces in the Unitary State of the Republic of Indonesia which were analyzed using time series data over a period of 5 years. So that the total population and sample in this study were 170 samples. The results showed that health services including the ratio of hospital beds and the ratio of doctors had an effect on life expectancy. Then to the health financing variables, it was found that the deconcentrating funds, special allocation funds and the coverage of the JKN program participation all had an effect on the life expectancy rate. The education variable also shows that the average length of schooling and literacy have an effect on life expectancy. Finally, the social factor variables which include the Gini ratio index, the depth index and the severity of poverty, all three have a significant effect on life expectancy which in turn has an impact on economic growth in Indonesia with a contribution of 97.21%. Simultaneously access to health services, health financing, educational status and social status affect life expectancy This has a big and favorable effect on economic development.